Marketplace Platforms

10,000 sellers. 10,000 ways to describe the same product. One search bar that actually works.

Beam normalizes chaotic seller data into a unified, searchable catalog — consistent categories, clean attributes, and discovery that works across every listing, from every seller.

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RAW CATALOG DATA
Wireless earbuds product photo
title:Wireless Earbuds Bluetooth 5.0 Noise Cancel
category:Electronics/Audio/Other
description:Best quality earbuds!!!!
brand:null
use-case:null
AI-ENRICHED KNOWLEDGE
Wireless earbuds — enriched
title:Wireless ANC Earbuds — Bluetooth 5.0
category:Audio > Earbuds > True Wireless > ANC
features:Active noise cancellation, Bluetooth 5.0, touch controls
use-case:Commuting, gym workouts, focus work, phone calls
comparison:Budget alternative to AirPods Pro, Sony WF-1000XM5

Enrichment

What Beam adds for Marketplace Platforms

Three layers of AI analysis turn every listing into a rich knowledge node — structured, contextual, and discoverable.

Layer 01

Catalog Normalization

One seller says "headphones." Another says "earbuds." A third says "audio accessories." Beam maps them all to a single, consistent taxonomy — automatically, at scale.

Category mapping: 47 seller taxonomies → 1 unified tree
Attribute extraction: size, color, material from freetext
Title cleanup: keyword-stuffed → clean, structured titles
Duplicate detection: same product, different sellers
Layer 02

Quality & Trust Signals

Beam scores every listing for completeness, image quality, and description accuracy — surfacing the best representations and flagging junk before it reaches your search index.

Image quality: high-res product shots vs. phone photos
Description score: detailed specs vs. "BEST QUALITY!!!"
Completeness: all key attributes filled vs. sparse listing
Consistency: claims match images and specs
Layer 03

Unified Discovery

Beam creates one search vocabulary across your entire fragmented catalog — so a buyer's query finds the best result regardless of how each seller chose to describe it.

"Noise cancelling earbuds" finds ANC, noise-canceling, noise cancel
"Workout headphones" finds sweat-proof, sport, gym-rated
"Budget AirPods alternative" surfaces comparable products
"Good bass for hip-hop" matches audio profile data

Search

Same query. Wildly different results.

See what happens when search understands intent, not just keywords.

wireless earbuds with good bass for working out
traditional-search.com
Keyword Matching

Wireless Earbuds Bluetooth 5.0 Noise Cancel BEST

Keyword-stuffed title, no bass or fitness info

Keyword match

Bass Guitar Wireless Transmitter

Matched on "wireless" and "bass" — wrong product

Keyword match

Workout Resistance Bands Set

Matched on "working out" — not audio

Keyword match
powered by Beam
Intent Understanding

JBL Endurance Race — True Wireless Sport Earbuds

Audio: bass-forward EQ, IP67 sweat-proof, ear hooks

Intent match

Beats Fit Pro — Active Noise Cancelling

Profile: punchy bass, secure wingtip fit, gym-rated

Use-case match

Anker Soundcore Sport X10 — Deep Bass, IPX7

Budget pick: bass boost mode, rotatable ear hooks, $49

Context match

Benefits

Why Marketplace Platforms teams choose Beam

From enrichment to discovery, Beam solves the problems that keep your products invisible.

01

Seller Data Normalization

Your sellers write listings like ransom notes — inconsistent categories, keyword-stuffed titles, missing attributes. Beam cleans it all into a structured, queryable catalog without changing a single seller workflow.

02

Consistent Search Quality

Whether a listing was written by a professional brand or a first-time seller, Beam ensures the search experience is the same. Best result wins, not best-written listing.

03

Reduced Listing Duplication

When 50 sellers list the same product with 50 different titles, buyers see noise. Beam detects duplicates, clusters variants, and surfaces the highest-quality representation.

04

AI Agent Marketplace Access

AI shopping assistants need clean data to recommend products. Your normalized, enriched catalog becomes the structured feed that agents can actually reason over — messy listings get skipped.

One catalog. One search. Zero chaos.

Join marketplace platforms already using Beam to turn seller chaos into structured, AI-ready product knowledge.

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